A Study on the Evaluation of Wind Energy to Reduce Energy Loads in Settlements

Ayse Yesilyurt, Gul Koclar ORAL

Abstract


Rapid construction, intensive urbanization, developing technology, and the desire to live in comfortable and high-quality environments have increased the use of energy and caused environmental problems. As buildings and urban areas account for a significant proportion of overall energy consumption, priority should be assigned to energy efficient solutions in buildings and urban area design. One of the most effective ways to ensure energy efficiency in buildings is to use wind, which is one of the resources that comes to mind when it comes to renewable energy sources and that has not been widely used in buildings before. In this article, the use of wind as a roof-mounted wind turbine was examined and the results of the parametric computational fluid dynamics (CFD) study conducted in a city to analyze the effects of texture form, building height, building height/street width (H/W) ratio, and texture orientation of wind speed on the roofs were reported. The study was carried out for the city of Istanbul, Turkey, where urban transformation is very fast. The results of this study showed that among the developed urban texture alternatives, compact structure alternatives (row houses and 4-courtyards), provide higher wind speed than the alternatives with single blocks. When analyzing the urban texture orientation, it was observed that the wind speed on the roofs of the textures at an angle of 45° with the wind direction (0°, 90° alternatives) was higher than a wind speed on the roofs of the textures parallel to the wind direction (45°, 135° alternatives).


Keywords


Wind energy on buildigs, Energy efficient cities, Urban texture form, H/W ratio, Roof mounted wind turbine, ENVI- met.

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References


World Energy Council, World Energy Perspective Energy Efficiency Technologies Overview Report, 2014.

A.Ballaji, B.P. Divakar, H. Mr. Nagaraj, Dr. P. M. Rajashekar , K. S. Narayan, “ Energy Efficient Perturb and Observe Maximum Power Point Algorithm with Moving Average Filter for Photovoltaic Systems”, Intermational Journal of Renewable Energy Research, Vol.9, No.1, March, 2019.

T. Stathopoulos, H. Alrawashdeh, A. Al-Quraan, B. Blocken, A. Dilimulati, M. Paraschivoiu, P. Pilay, “Urban wind energy: Some views on potential and challenges”, Journal of Wind Engineering & Industrial Aerodynamics. 179, 146–157, 2018.

T.F. Ishugah, Y. Li, R.Z. Wang, J.K. Kiplagat, “Advances in wind energy resource exploitation in urban environment: A review” Renewable and Sustainable Energy Reviews 37, 613–626, 2014.

M.Z. Shiraz, A. Dilimulati, M. Paraschivoiu, “Wind power potential assessment of roof mounted wind turbines in cities”, Sustainable Cities and Society 53, 101905, 2020.

S.L. Walker, “Building mounted wind turbines and their suitability for the urban scale—A review of methods of estimating urban wind resource”, Energy and Buildings 43, 1852–1862, 2011.

B. Blocken, “Computational Fluid Dynamics for Urban Physics: importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations”, Build. Environ. 91, 219–245, 2015.

B. Blocken, “50 years of computational wind engineering: past, present and future”, J. Wind Eng. Ind. Aerod. 129, 69–102, 2014.

Y., Toparlar, B., Blocken, B. Maiheu, GJF.,van Heijst, “A review on the CFD analysis of urban microclimate ”,Renewable and Sustainable Energy Reviews 80: 1613-1640, 2017.

A. Yang, Y. Su, C. Wen, Y. Juan, W. Wang, C. Cheng, “Estimation of wind power

generation in dense urban area”, Appl. Energy 171, 213–230, 2016.

A.B. Tabrizi, J. Whale, T. Lyons, T. Urmee,” Performance and safety of rooftop wind turbines: Use of CFD to gain insight into inflow conditions”, Renew. Energy 67, 242–251, 2014.

B.Blocken, J. Carmeliet, T. Stathopoulos, “CFD evaluation of wind speed conditions in passages between parallel buildings-effect of wall-function roughness modifications for the atmospheric boundary layer flow”, J. Wind Eng. Ind. Aerod. 95 (9–11), 941–962, 2007.

N. Mithraratne, “Roof-top wind turbines for microgeneration in urban houses in

New Zealand. Energy Build.” 41 (10), 1013–1018. 2009.

L. Lu, K.Y. Ip, “Investigation on the feasibility and enhancement methods of wind power utilization in high- rise buildings of Hong Kong”, Renew. Sustain. Energy Rev. 13 (2), 450–461, 2009.

L. Ledo, P.B. Kosasih, P. Cooper, “Roof mounting site analysis for micro-wind turbines”, Renew. Energy 36 (5), 1379–1391, 2011.

I. Abohela, N. Hamza, S. Dudek, “Effect of roof shape, wind direction, building

height and urban configuration on the energy yield and positioning of roof mounted wind turbines”, Renewable Energy 50 (2013) 1106-1118.

A.A. Razak, A. Hagishima, N. Ikegaya, J. Tanimoto, “Analysis of airflow over building arrays for assessment of urban wind environment” Build. Environ. 59, 56–65, 2013.

Nishimura, T. Ito, M. Kakita, J. Murata, T. Ando, Kamada, M. Hirota, M. Kolhe, “Impact of building layout on wind turbine power output in the built environment: a case study of Tsu city”, J. Jpn. Inst. Energy 84, 315–322, 2014.

L. Lu, K. Sun, “Wind power evaluation and utilization over a reference high-rise building in urban area”, Energy Build. 68, 339–350, 2014.

B. Wang, L.D. Cot, L., Adolphe, S., Geoffroy, J. Morchain, “Estimation of wind energy over roof of two perpendicular buildings”, Energy Build. 88, 57–67, 2015.

T. Simoes, A. Estanqueiro, “A new methodology for urban wind resource assessment”, Renewable Energy 89, 598-605, 2016.

F. Toja-Silva, C., Peralta, O. Lopez-Garcia, J. Navarro, I. Cruz, “Roof region

dependent wind potential assessment with different RANS turbulence models”,

J. Wind Eng. Ind. Aerod. 142, 258–271, 2015.

B. Wang, L.D. Cot, L., Adolphe, S., Geoffroy, “Estimation of wind energy of a building with canopy roof”, Sustain. Cities Soc., 35, 402–416, 2017.

Q. Wang, J. Wang, Y. Hou, R. Yuan, K. Luo, J. Fan, “Micrositing of roof mounting wind turbine in urban environment: CFD simulations and lidar measurements”, Renew. Energy, 115, 1118–1133, 2018.

S. Liu, W. Pan, X. Zhao, H. Zhang, X. Cheng, Z. Long, Q. Chen, “Influence of surrounding buildings on wind flow around a building predicted by CFD simulations” Building and Environment, 140: 1–10, 2018.

E. Arteaga-Lopez, C. Angeles-Camacho, F.B. Ruedas, “Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis”, Energy 167 (2019) 181-188.

M. Bruse, Modeling blue infrastructure: “Technical description of water related elements and tools in ENVI-met V4”, Unpublished manuscript, 2017.

M. Bruse, Retrieved 2019, from https://www.envi-met.com/.

T. R. Oke, “Street design and urban canopy layer climate. Energy and Buildings,

(1–3), 103–113”, http://dx.doi.org/10.1016/0378-7788(88)90026-6, 1988.

T. Sharmin, K. Steemers, A. Matzarakis, “Microclimatic modelling in assessing the impact of urban geometry on urban thermal environment”, Sustainable Cities and Society 34, 293–308, 2017.

http://www.wbdg.org/resources/env_wind.php >, 1.07.2019.

M. A. Bakarman, J. D. Chang, “The influence of height/ width ratio on urban heat island in hot- arid climates” Procedia Engineering 118, (2015), 101-108.

J. Hang, M. Sandberg, Y. Li, “Effect of urban morphology on wind condition in idealized city models”, Atmospheric Environment 43, 869–878, 2009.

www.mgm.gov.tr >, 12.07.2021.

REPA, 2019. Turkey Wind Energy Atlas.

https://www.archiexpo.com/prod/xzeres-wind/product-9813-142125.html

E. Arteaga-Lopez, C. Angeles-Camacho, “Innovative virtual computational domain based on wind rose diagrams for micrositing small wind turbines”, Energy 220 (2021) 119701.

A.D. Penwarden, 1973. Acceptable Wind Speeds in Towns, Build. Sci. 8: 259-267.

F. Kiraz, “Toplu Konutlarda Rüzgar ve Gürültü Aç?s?ndanKonforlu Aç?k Alan Tasar?m?na Yönelik Bir Yakla??m”, Yildiz Teknik University, Department of Architecture Phd. Thesis, 2015.




DOI (PDF): https://doi.org/10.20508/ijrer.v12i1.12818.g8418

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